李茉, 曹凯华, 付强, 刘巍, 胡颜, 常雨晴. 不确定条件下考虑水循环过程的灌区多水源高效配置[J]. 农业工程学报, 2021, 37(18): 62-73. DOI: 10.11975/j.issn.1002-6819.2021.18.008
    引用本文: 李茉, 曹凯华, 付强, 刘巍, 胡颜, 常雨晴. 不确定条件下考虑水循环过程的灌区多水源高效配置[J]. 农业工程学报, 2021, 37(18): 62-73. DOI: 10.11975/j.issn.1002-6819.2021.18.008
    Li Mo, Cao Kaihua, Fu Qiang, Liu Wei, Hu Yan, Chang Yuqing. Efficient allocation of multiple water sources in irrigation areas considering water cycle process under uncertainty[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(18): 62-73. DOI: 10.11975/j.issn.1002-6819.2021.18.008
    Citation: Li Mo, Cao Kaihua, Fu Qiang, Liu Wei, Hu Yan, Chang Yuqing. Efficient allocation of multiple water sources in irrigation areas considering water cycle process under uncertainty[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2021, 37(18): 62-73. DOI: 10.11975/j.issn.1002-6819.2021.18.008

    不确定条件下考虑水循环过程的灌区多水源高效配置

    Efficient allocation of multiple water sources in irrigation areas considering water cycle process under uncertainty

    • 摘要: 灌区多水源配置涉及"大气水-地表水-土壤水-地下水"水循环过程,水文要素的变化增加了灌区多水源配置的复杂性,如何在不确定性条件下考虑农田水循环过程,将有限的不同来源的水量高效的分配到作物不同生育阶段,对促进灌区精准灌溉具有重要意义。基于此,该研究在径流与降水联合不确定性条件下,建立基于水循环过程的灌区多水源高效配置多目标模型,该模型耦合了Jensen模型与水短缺足迹模型,以实现节水增效的目的,并获得灌区高效配水方案对径流-降水联合不确定性的响应特征。结果表明:在不同径流与降水的组合情景下,基于各情景配水方案及发生概率,灌区主要生育期的综合配水量为2 241万m3,地表水与地下水的分配比例为6.5∶1,田间实际配水量占灌区可分配水量的95%;经济效益与田间配水量呈正相关关系,而水短缺足迹与田间配水量呈负相关,所构建的模型权衡了灌区经济效益、产量、蓝水利用量多个相互矛盾目标,与实际情况相比,灌区水分生产力可提高11%;不同情景下各生育阶段需要灌溉的程度不同,拔节期对缺水的敏感性最强,且水量分配变幅较大;分蘖期、拔节期和乳熟期采用以地表水灌溉为主,而抽穗期采用以地下水灌溉为主的方式可促进灌区节水增效;多水源配置方案使灌区灌溉的有效性在各情景下均呈现良好状态,可靠性在良好和中等水平之间,而灌区在灌溉的充分性方面有很大提升潜力。构建的模型能够反映水文要素的动态变化对灌区多水源配置的影响,明晰渠首引水与田间多水源配水的相互关系,并提出效益与用水效率同步提升的多水源配置方案,为灌区农业水资源的高效利用提供决策支持。

       

      Abstract: Abstract: Precise configuration of multiple water sources in irrigation areas is closely involved with the whole water cycle process of "atmospheric water-surface water-soil water-groundwater". Particularly, changes in hydrological elements can pose a great complexity on the multi-source configuration of irrigation areas. It is very necessary to consider the water cycle process under uncertainty, thereby efficiently allocating the limit water availability to different growth stages of crops in precision irrigation. In this study, a multi-objective model was established to optimize the efficient allocation of multiple water sources under the combined uncertainty of runoff and precipitation in an irrigation area using the water cycle process. Jensen and water scarcity footprint models were also coupled to achieve the synchronization of economic benefits and water saving. An attempt was made to obtain the response characteristics of efficient water distribution to the combined uncertainty of runoff and precipitation. The results showed that the comprehensive water allocation during the main growth period in the irrigation area was 22.41 million m3 under different combined scenarios of surface water supply and precipitation using the water allocation plan and occurrence probability of each scenario. Specifically, the proportion of surface water and groundwater was 6.5∶1, while the water allocation in the field accounted for 95% of the optimal water availability. Furthermore, the goal of economic benefit presented a positive correlation with the field water allocation amount, while the goal of water scarcity footprint presented a negative correlation. The constructed model was also used to weigh the conflict goals of economic benefit, yield and blue water use. In addition, the water productivity increased by 11% in the irrigation area. Nevertheless, the required irrigation at each growth stage greatly varied in the different scenarios. More importantly, the jointing stage was the largest sensitivity to water shortage and the amplitude of water allocation variation. The main water supply source during tillering, jointing, and milk-ripe stages was surface water, while the main water source during heading was groundwater. Correspondingly, the multi-source configuration presented high effectiveness in the irrigation area, where the irrigation reliability fluctuated within the good and medium conditions. Fortunately, irrigation adequacy can widely be expected to serve great potential for improvement in the future. Consequently, the constructed model can be used to clearly represent the impact of dynamic variations in hydrological elements on the allocation of multiple water sources in the irrigation area. A relationship between canal water availability and field water distribution can also greatly contribute to a multi-water source configuration plan with simultaneous improvement of benefits and water efficiency. Particularly, the finding can provide strong decision-making support to the efficient use of agricultural water resources in the irrigation areas.

       

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